In Exercises 1 - 24, use Gaussian Elimination to find the complete solution to each system of equations, or show that none exists.
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- 0. Review of Algebra4h 18m
- 1. Equations & Inequalities3h 18m
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- 4. Polynomial Functions1h 44m
- 5. Rational Functions1h 23m
- 6. Exponential & Logarithmic Functions2h 28m
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7. Systems of Equations & Matrices
Introduction to Matrices
Problem 1
Textbook Question
In Exercises 1 - 24, use Gaussian Elimination to find the complete solution to each system of equations, or show that none exists. ⎩⎨⎧5x+12y+z=102x+5y+2z=−1x+2y−3z=5
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Write the system of equations as an augmented matrix:
\[\left[\begin{array}{ccc|c} 5 & 12 & 1 & 10 \\ 2 & 5 & 2 & -1 \\ 1 & 2 & -3 & 5 \end{array}\right]\]
Use row operations to create a leading 1 in the first row, first column if needed, or use the existing pivot to eliminate the x-terms in the rows below. For example, use row 3 as a pivot to eliminate x in rows 1 and 2.
Perform row operations to create zeros below the pivot in the first column. This means subtracting appropriate multiples of the first row from the second and third rows to eliminate the x-terms in those rows.
Move to the second row and second column to create a pivot (leading 1) there, then use it to eliminate the y-term in the third row by appropriate row operations.
Once the matrix is in upper triangular (row echelon) form, use back substitution to solve for the variables starting from the last row and moving upward.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Systems of Linear Equations
A system of linear equations consists of two or more linear equations with the same set of variables. The goal is to find values for the variables that satisfy all equations simultaneously. Solutions can be unique, infinite, or nonexistent depending on the system's consistency and independence.
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Gaussian Elimination
Gaussian elimination is a method for solving systems of linear equations by transforming the system's augmented matrix into row-echelon form using row operations. This process simplifies the system, making it easier to solve by back-substitution or to determine if no solution exists.
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Row Operations and Row-Echelon Form
Row operations include swapping rows, multiplying a row by a nonzero scalar, and adding multiples of one row to another. These operations are used to convert a matrix into row-echelon form, where each leading coefficient is to the right of the one above it, facilitating straightforward solution extraction.
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